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dc.contributor.authorCastro Pérez, Jordi
dc.date.accessioned2011-12-13T19:22:14Z
dc.date.available2011-12-13T19:22:14Z
dc.date.issued2011
dc.identifier.citationCastro Pérez, Jordi. Extending controlled tabular adjustment for non-additive tabular data with negative protection levels. "SORT", vol. 35, núm. 1, p. 3-20.
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/2099/11411
dc.description.abstractMinimum distance controlled tabular adjustment (CTA) is a recent perturbative methodology for the protection of tabular data. An implementation of CTA was recently used by Eurostat for the protection of European Union level structural business and animal production statistics. The realworld instances to be solved forced the classical CTA model to be extended with two features: first, to deal with non-additive tables; second, and most important, to consider negative protection levels. The latter extension means a significant modification of the classical CTA mixed integer linear model. We present and compare new models for these extensions. Computational results are reported using a set of real-world instances, and two state-of-the-art commercial solvers (CPLEX and Xpress).
dc.format.extent18
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.relation.ispartofSORT. 2011, vol. 35, núm. 1
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshStatistics-Tables
dc.subject.otherMathematical programming
dc.subject.otherMixed integer linear optimization
dc.subject.otherStatistical disclosure control
dc.subject.otherOfficial statistics
dc.subject.otherControlled tabular adjustment
dc.subject.otherPerturbative methods
dc.titleExtending controlled tabular adjustment for non-additive tabular data with negative protection levels
dc.typeArticle
dc.subject.lemacEstadística--Taules
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::90 Operations research, mathematical programming::90B Operations research and management science
dc.subject.amsClassificació AMS::62 Statistics::62Q05 Statistical tables
dc.rights.accessOpen Access
local.citation.authorCastro Pérez, Jordi
local.citation.publicationNameSORT
local.citation.volume35
local.citation.number1
local.citation.startingPage3
local.citation.endingPage20


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